Biology subjects

Li, l.

Publications and source records attributed to Li, l..

8 recordsLinked to original sources

bioRxiv2026

miR-128 Regulates Hypertensive Vascular Remodeling via PPAR-γ

OBJECTIVEThis study aimed to explore the role and underlying mechanism of microRNA-128 (miR-128) in regulating vascular remodeling in spontaneously hypertensive rats (SHRs), focusing on its targeting of peroxisome proliferator-activated receptor {gamma} (PPAR-{gamma}) and modulation of the Toll-like receptor 4/nuclear factor-{kappa}B (TLR4/NF-{kappa}B) inflammatory pathway. METHODSAll experimental procedures were approved by the Animal Care and Use Committee of Fujian Medical University. In vivo, ten-week-old male SHRs were randomly assigned to three groups: renal denervation (RDN, n=6), sacubitril/valsartan (Sac/Val, n=6), and Sham (n=6). Age-matched Wistar-Kyoto (WKY) rats served as normotensive controls (n=6).Eight weeks after intervention, mesenteric arteries were harvested for histological, functional, and molecular analyses. Serum miR-128 levels were measured by quantitative real-time polymerase chain reaction (qRT-PCR). The expression levels of key proteins in the vascular wall were assessed via immunofluorescence (IF), immunohistochemistry (IHC), and Western blotting (WB). Bioinformatics analysis and RNA sequencing (RNA-seq) were employed to identify core genes and signaling pathways associated with hypertension-induced pathological inflammation. RESULTSIn vivo, in the SHR sham-operated group, elevated blood pressure, severe vascular remodeling, and impaired vasodilatory function were observed, accompanied by downregulated miR-128 expression and upregulated TLR4/NF-{kappa}B signaling activity (all p < 0.0001).RDN postoperative, miR-128 expression was significantly restored, which in turn inhibited the TLR4/NF-{kappa}B pathway, reduced the production of pro-inflammatory cytokines (including IL-1{beta}, IL-6, and TNF-), and ameliorated vascular dilation dysfunction in SHRs (all p < 0.0001). Mechanistically, miR-128 negatively regulated the TLR4/NF-{kappa}B signaling pathway while upregulating the expression of PPAR-{gamma} (p < 0.05). CONCLUSIONRDN not only exerts a hypotensive effect but also improves hypertensive vascular remodeling. miR-128 inhibits excessive inflammation in vascular smooth muscle cells and alleviates vascular remodeling in SHRs via the PPAR-{gamma}/TLR4/NF-{kappa}B axis. These findings identify miR-128 as a potential therapeutic target for RDN in the treatment of hypertension, providing a novel regulatory strategy for the precision management of cardiovascular diseases.

bioinformatics↗

bioRxiv2025

EndoGenius: Enabling comprehensive identification and quantitation of endogenous peptides

Structured abstractO_ST_ABSSummaryC_ST_ABSThe investigation of endogenous peptides, specifically with respect to neuropeptides, from mass spectrometry data is rife with bioinformatics bottlenecks, stemming from the low in vivo abundance of these analytes, increased susceptibility to degradation, and an immense search space of possible peptides. To address this, we present EndoGenius in its expanded form, strategically designed to optimize the searching for these endogenous peptides complemented with a pipeline designed for tasks including quantitation, spectral library building, motif extraction, and usage with data-independent acquisition workflows. Availability and ImplementationEndoGenius is released as an open-source software package under an MIT License. The EndoGenius package with a user interface can be installed from https://www.lilabs.org/resources. The source code for EndoGenius can be accessed at https://github.com/lingjunli-research/EndoGenius-v2.0. ContactLingjun.Li@wisc.edu

bioinformatics↗

bioRxiv2024

Comparative genomics illuminates adaptive evolution of DVNP with lifestyle and with loss of histone H1 in dinoflagellates

About ten years ago dinoflagellate/viral nucleoprotein (DVNP) was discovered in dinoflagellates, an ecologically important and evolutionarily enigmatic group of aquatic protists. Apparently acquired from a viral origin, the appearance of DVNP coincided with the loss of nucleosome, a rare event in eukaryote evolution. Despite the potential importance of DVNP as the substitute of histones, its evolutionary trajectory and adaptive significance remain elusive. Here, we conducted comparative analyses using existing dinoflagellate genomes and transcriptomes from 26 species ranging from ancestral to later-diverging lineages to investigate the pattern of sequence and structural divergence. Results showed that the functional domestication of DVNP in ancestral dinoflagellates coincided with the loss of histone H1, while subsequent DVNP differentiation was accompanied by the yet another genomic innovation: acquisition of bacterial-originated histone-like protein. Furthermore, our data split DVNP into two major groups: the core DVNP that resembles histone H1 and shows consistently high levels of expression and the non-core DVNP with higher sequence variability and showing lower yet variable levels of expression. In addition, we observed a trend in DVNP evolution tracing that in lifestyle differentiation. This work offers insights into the adaptive evolution of DVNP, laying the foundation for further inquiries of evolutionary drivers and functional innovation of DVNP to enhance our understanding of dinoflagellate evolution and ecological success.

microbiology↗

bioRxiv2022

An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis

Multiplexed quantitative proteomics using tandem mass tag (TMT) is increasingly used in -omic study of complex samples. While TMT-based proteomics has the advantages of the higher quantitative accuracy, fewer missing values, and reduced instrument analysis time, it is limited by the increased cost due to the use of labeling reagents. In addition, current TMT labeling workflows involve repeated small volume pipetting of reagents in volatile organic solvents, which may increase the sample-to-sample variations and is not readily suitable for high throughput applications. In this study, we demonstrated that the TMT labeling procedures could be streamlined by using pre-aliquoted dry TMT reagents in a 96 well plate or 12-tube strip. As little as 50 g dry TMT per channel effectively labels 6-12 g peptides, yielding efficient TMT labeling efficiency ([~]99%) in both microbiome and mammalian cell line samples. This streamlined workflow decreases reagent loss and reduces inter-sample variations. We applied this workflow to analyze 97 samples in a study to evaluate whether ice recrystallization inhibitors improve the cultivability and activity of frozen microbiota. The results demonstrated tight sample clustering corresponding to groups and consistent microbiome responses to prebiotic treatments. This study supports the use of TMT reagents that are pre-aliquoted, dried, and stored for streamlined and robust quantitative proteomics and metaproteomics in high throughput applications.

systems biology↗

bioRxiv2022

Phenotypic and transcriptomic responses of the sun- and shade-loving plants to sunlight and dim-light conditions

Elucidating how plant species respond to variable light conditions is important to understanding the ecological adaptation to heterogeneous natural habitats. However, the phenotypic responses and gene regulatory network of shade-loving plants under distinct light conditions have remained largely unclear. In this study, we assessed the differences in phenotypic and transcriptomic responses between Arabidopsis (sun-loving) and Panax ginseng (shade-loving) to sunlight and dim-light conditions. Our results showed that, compared to the Arabidopsis, ginseng plants not only exhibited a lower degree of phenotypic plasticity in response to distinct light conditions, but also showed higher photosynthetic efficiency under dim-light conditions. Further time-course transcriptome profiling and gene structural analyses revealed that differentially transcriptional regulation together with increased copy number of the photosynthesis-related genes (i.e., electron transfer and carbon fixation) may improve the photosynthetic efficiency of ginseng plants under dim-light conditions. In contrast, the loss-function and inactivation of phytochrome-interacting factors are potentially associated with the observed low degree of phenotypic plasticity of ginseng plants under the changing light conditions. Our study provides new insights on how shade-loving plants respond to variable light conditions. Candidate genes related to shade adaptation in ginseng provide valuable genetic resources for future molecular breeding of high-density planting crops. HighlightThe shade-loving species Panax ginseng possesses lower phenotypic plasticity under distinct light conditions and shows high photosynthesis efficiency under dim-light condition.

evolutionary biology↗

bioRxiv2021

On-tissue spatial proteomics integrating MALDI-MS imaging with shotgun proteomics reveals soy consumption-induced biomarkers in a fragile X syndrome mouse model

Soy-based diets are associated with increased seizures and autism. Thus, there is an acute need for unbiased protein biomarker identification in Fragile X syndrome (FXS) in response to soy consumption. Herein, we present a spatial proteomics approach integrating mass spectrometry imaging (MSI) with label-free proteomics in a mouse model of FXS to map the spatial distribution and quantify the levels of proteins in the hippocampus and hypothalamus brain regions. In total, 1,004 unique peptides were spatially resolved, demonstrating the diverse array of peptidomes present in the tissue slices and the broad coverage of the strategy. A group of proteins that are known to be involved in the GABAergic system, synaptic transmission, and co-expression network analysis indicated that protein in soy group was significantly associated with metabolism and synapse modules in the Fmr1KO brain. Ultimately, this spatial proteomics work laid the ground for identifying novel therapeutic targets and biomarkers for FXS.

biochemistry↗

bioRxiv2020

Structural basis of Blastomyces Endoglucanase-2adjuvancy in anti-fungal and -viral immunity

The development of safe subunit vaccines requires adjuvants that augment immunogenicity of non-replicating protein-based antigens. Current vaccines against infectious diseases preferentially induce protective antibodies driven by adjuvants such as alum. However, the contribution of antibody to host defense is limited for certain classes of infectious diseases such as fungi, whereas animal studies and clinical observations implicate cellular immunity as an essential component of the resolution of fungal pathogens. Here, we decipher the structural bases of a newly identified glycoprotein ligand of Dectin-2 with potent adjuvancy, Blastomyces endoglucanase-2 (Bl-Eng2). We also pinpoint the developmental steps of antigen-specific CD4+ and CD8+ T responses augmented by Bl-Eng2 including expansion, differentiation and tissue residency. Dectin-2 ligation led to successful systemic and mucosal vaccination against invasive fungal infection and Influenza A infection, respectively. O-linked glycans on Bl-Eng2 applied at the skin and respiratory mucosa greatly augment vaccine subunit induced protective immunity against lethal influenza and fungal pulmonary challenge. AUTHOR SUMMARYFungal disease remains a challenging clinical and public health problem in part because there is no commercial vaccine available. The lack of suitable adjuvants is a critical barrier to developing safe and effective vaccines against fungal pathogens. Current adjuvants such as alum preferentially induce antibody responses which may be limited in mediating protection against fungi. Clinical observations and animal studies implicate cellular immunity as the essential component for the resolution of fungal infections. We have recently discovered an adjuvant that augments cell mediated immune responses and vaccine induced protection against fungi. Here, we identified the structural and mechanistic requirements by which this newly discovered adjuvant induces cell mediated immunity against fungi. As a proof of principle we also demonstrate that the adjuvant drives cellular immune responses against viruses such as influenza. We anticipate that our adjuvant can be used for vaccination with safe subunit vaccines against many microbial pathogens including viruses, intracellular bacteria, fungi and parasites that require cell mediated immune responses.

immunology↗

bioRxiv2019

SEQdata-BEACON: a comprehensive database of sequencing performance and statistical tools for performance evaluation and yield simulation in BGISEQ-500

BackgroundBGISEQ-500 is based on DNBSEQ technology and superior in providing high outputs and requiring less cost. This sequencer has been widely used in various areas of scientific and clinical research. A better understanding of the sequencing process and sequencer performance is essential for stabilizing sequencing process, accurately interpreting sequencing results and efficiently solving sequencing troubles. To solve these problems, a comprehensive database SEQdata-BEACON was constructed to accumulate sequencing performance data in BGISEQ-500.\n\nMethodsTotally 60 BGISEQ-500 sequencers in BGI-Wuhan lab were used to collect the sequencing performance data. Those lanes in paired-end 100 sequencing using 10bp barcode were chosen, and each lane containing 66 metrics was assigned a unique entry number as ID. The database was constructed in MySQL server 8.0 and the website was built on Apache (2.4.33 win64 VC15 server). The statistical analysis and linear regression models were generated by R program based on the data from November 2018 to April 2019.\n\nResultsA total of 2236 entries were recorded in the database, including sample ID, yield, quality, machine state and supplies information. According to correlation matrix, the 52 numerical metrics were clustered into three groups signifying yield-quality, machine state and sequencing calibration. The metrics distributions also delivered some patterns and rendered clues for further explanation or analysis of the sequencing process. Using the data of total 200 cycles, the linear regression model well simulated the final outputs. Moreover, the predicted final yield could be provided in the 15th cycle of the early stage of sequencing and the corresponding coefficient of determination R2 of the 200th and 15th cycle models were 0.97 and 0.81 respectively. The data source, statistical findings and application tools were all available in our website http://seqBEACON.genomics.cn:443/home.html. These resources can be used as a constantly updated reference for BGISEQ-500 users to comprehensively understand DNBSEQ technology, solve sequencing problems and optimize the sequencing process.

bioinformatics↗